Fully Dynamic Bin Packing Revisited
Sebastian Berndt, Klaus Jansen, Kim-Manuel Klein

TL;DR
This paper presents a new dynamic bin packing algorithm that achieves a near-optimal trade-off between the number of bins and repacking costs, with improved bounds and no amortization.
Contribution
It introduces a novel dynamic rounding technique and handling of small items, achieving a nearly matching upper bound for the migration factor at a given asymptotic competitive ratio.
Findings
Achieves an $O(rac{1}{ extepsilon}^4 extlog rac{1}{ extepsilon})$ upper bound on migration factor.
Provides a polynomial-time algorithm with non-amortized, independent repacking costs.
Improves previous trade-offs for bin packing with better bounds and no amortization.
Abstract
We consider the fully dynamic bin packing problem, where items arrive and depart in an online fashion and repacking of previously packed items is allowed. The goal is, of course, to minimize both the number of bins used as well as the amount of repacking. A recently introduced way of measuring the repacking costs at each timestep is the migration factor, defined as the total size of repacked items divided by the size of an arriving or departing item. Concerning the trade-off between number of bins and migration factor, if we wish to achieve an asymptotic competitive ration of for the number of bins, a relatively simple argument proves a lower bound of for the migration factor. We establish a nearly matching upper bound of using a new dynamic rounding technique and new ideas to handle small…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
